Life-Science companies are obsessed with hording documents. These documents are filled with meaningless data.

Axendia research shows that 85% of companies surveyed rely on document driven processes.

Much of these meaningless data are unstructured, untagged and untapped. Data are spread across countless repositories. They are saved in PDF documents and spreadsheets, in portals, share drives and email systems, in ERP, QMS, LIMS, MES, and PLM in process control systems and historians, etc.

However, data, even Big Data, on their own are not enough. What is needed is intelligence. Intelligence can be applied to answering scientific questions about product or process changes and the potential impact to both the product and the patient.

Until recently, the challenge has been the ability to turn these vast amounts of meaningless data into actionable intelligence, while supporting compliance with regulatory requirements.

Historically, transforming meaningless data into actionable intelligence required hordes of spreadsheet wizards performing data alchemy. Data alchemists would hoard, compile, purify, distill, and perfect vast amounts of meaningless data and turn it into quasi-actionable intelligence. Often working with months old data, the job of a data alchemist is tedious, resource intensive and often non-reproducible.

What if you could throw your data into a qualified data lake and use every technology buzzword to transform it into actionable intelligence?

Can Big Data, AI, ML, Cloud and IoT Fix the DRIP?

Axendia was recently briefed by Bigfinite management to learn how the firm’s platform can address Life Science manufacturing problems that cannot be easily solved with current solutions. Continue reading →

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